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556 results for “Meta Data”
Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis (Dataset)
<p>Raw data used for statistical analysis of our paper "Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis". </p>
Meta Analysis of Conservation Games Data
<p>This is the first release of Meta Analysis of Conservation Games Dataset. This was created for the analysis in the paper "Payments don't reconcile agriculture and conservation" by Andrew Reid Bell, O. Sarobidy Rakotonarivo, Apurva Bhargava, A. Bradley Duthie, Wei Zhang, Becca Sargent, Spike Lewis, and Adams Kipchumba.</p>
Risk of bias in observational studies using routinely collected data of comparative effectiveness research: a meta-research study
<p>We performed a meta-research study by searching PubMed for comparative effectiveness observational studies evaluating therapeutic interventions using routinely collected data published in high impact factor journals from 01/06/2018 to 30/06/2020. We assessed the reporting of study design (i.e., eligibility, treatment assignment, and the start of follow-up). Risk of selection bias and immortal time bias was determined by assessing if the time of eligibility, treatment assignment and the start of follow-up were synchronised to mimic the randomisation following the target trial emulation framework.</p>
Are Nonhuman Animals Averse to Inequity? A Meta-Analysis [Code and Data]
<p>Code and (anonymized) data for the manuscript "Are Nonhuman Animals Averse to Inequity? A Meta-Analysis"</p>
Data for: Phylogenetically controlled life history trait meta-analysis in cetaceans reveals unexpected negative brain size and longevity correlation
<p>The identification of patterns in trait evolution is essential to understand the interaction of evolutionary forces, and provides useful information for species management. Cetaceans are a phylogenetically well-resolved infraorder that exhibit distinct trait variation across behavioural, molecular and life history dimensions, yet few researchers have applied a meta-analytic or comparative approach to these traits. To understand cetacean trait evolution, we used a phylogenetic generalised least squares approach to examine the cognitive buffer hypothesis (CBH). A large brain should buffer individuals against environmental challenges through increasing survival rates, and a longer lifespan should buffer individuals against the cost of extended development for larger brains according to the CBH, leading to an expected positive correlation between brain size and lifespan. In contrast to this expectation, previously observed in taxa including primates, we found a negative correlation between brain size and lifespan in cetaceans. This suggests cetaceans experience selective pressures different from most other mammals in these traits but may be more similar to some social mammalian carnivores that display alloparenting. We also provide a comprehensive dataset to explore additional aspects of trait evolution but which would greatly benefit from studies on behavioural ecology across cetaceans and increased focus on data-deficient species. </p>
Data from: Meta-analysis of the effects of insect pathogens: Implications for plant reproduction
<p>Despite extensive work on both insect disease and plant reproduction, there is little research on the intersection of the two. Insect-infecting pathogens could disrupt the pollination process by affecting pollinator population density or traits. Pathogens may also infect insect herbivores and change herbivory, potentially altering resource allocation to plant reproduction. We conducted a meta-analysis to 1) summarize the literature on the effects of pathogens on insect pollinators and herbivores and 2) quantify the extent to which pathogens affect insect traits, with potential repercussions for plant reproduction. We found 39 articles that fit our criteria for inclusion, extracting 218 measures of insect traits for 21 different insect species exposed to 25 different pathogens. We detected a negative effect of pathogen exposure on insect traits, which varied by host function: pathogens had a significant negative effect on insects that were herbivores or carried multiple functions but not on insects that solely functioned as pollinators. Particular pathogen types were heavily studied in certain insect orders, with 7 of 11 viral pathogen studies conducted in Lepidoptera and 5 of 9 fungal pathogen studies conducted in Hymenoptera. Our results suggest that most studies have focused on a small set of host–pathogen pairs. To understand the implications for plant reproduction, future work is needed to directly measure the effects of pathogens on pollinator effectiveness.</p>
META-DATA for IEA Wind Task 46. WP2: Atmospheric drivers of wind turbine blade leading edge erosion: Ancillary variables
<p>Leading edge erosion (LEE) of wind turbine blades has been identified as a major factor in decreased wind turbine blade lifetimes and energy output over time. Accordingly, the International Energy Agency Wind Technology Collaboration Programme (IEA Wind TCP) created Task 46 to undertake cooperative research in the key topic of blade erosion.</p> <p>This report is a product of WorkPackage 2 <strong>Climatic conditions driving blade erosion. </strong></p> <p>The objectives of the work summarized in this report are to:</p> <ul> <li>Summarize efforts to elucidate critical atmospheric co-stressors that may accelerate leading edge erosion and hence for which meta-data regarding observations should be collated.</li> <li>Briefly describe and summarize additional data pertaining to those LEE co-stressors from sites that were the focus of analyses of hydrometeors in the report “Atmospheric drivers of wind turbine blade leading edge erosion: Hydrometeors” (Pryor et al. 2021)</li> </ul> <p>Accompanying this report is a detailed spreadsheet that summarizes the meta-data regarding these co-stressor variables.</p>
Data from: A meta-analysis of plant tissue O2 dynamics
<p><span>This dataset includes 1,567 recorded tissue O<sub>2</sub> levels from 112 plant species extracted from published literature. The data forms the basis of the publication "A meta-analysis of plant tissue </span><span>O<sub>2</sub></span><span> dynamics" with the following abstract:</span><br><br><span>Adequate tissue </span><span>O<sub>2</sub></span><span> supply is crucial for plant functioning. We therefore aimed at identifying environmental conditions and plant characteristics affecting plant tissue </span><span>O<sub>2</sub></span><span> status. We extracted data and performed meta-analysis on > 1,500 published tissue </span><span>O<sub>2</sub></span><span> measurements from 112 species. Tissue </span><span>O<sub>2</sub></span><span> status ranged from anoxic conditions in especially roots, to > 53 kPa in submerged, photosynthesizing shoots. Using </span><span>information-theoretic</span><span> model selection</span><span>, we identified 'submergence', 'light', 'tissue type' as well as 'light × submergence' interaction as significant drivers of tissue </span><span>O<sub>2</sub></span><span> status. Median </span><span>O<sub>2</sub></span><span> status was especially low (< 50% of atmospheric equilibrium) in belowground rhizomes, potato tubers and root nodules. Mean shoot and root </span><span>O<sub>2</sub></span><span> was ~25% higher in light than in dark when shoots had atmospheric contact. However, light showed a significant interaction with submergence on plant </span><span>O<sub>2</sub></span><span>, with a submergence-induced 44% increase in light, compared with a 42% decline in dark, relative to plants with atmospheric contact. During submergence, ambient water column </span><span>O<sub>2</sub></span><span> and shoot tissue </span><span>O<sub>2</sub></span><span> correlated stronger in darkness than in light conditions. Although miniaturised Clark-type </span><span>O<sub>2</sub></span><span> electrodes in particular have resulted in enhanced understanding of plant </span><span>O<sub>2</sub></span><span> dynamics, the use of non-invasive methods is still lacking behind</span> <span>its widespread use in</span><span> mammalian tissues. </span></p>
Data and code for "Brehm et al. (2023) The complexity of micro- and nanoplastic research in the genus Daphnia – A systematic review of study variability and a meta-analysis of immobilization rates"
<p>All data and R code for</p> <p><strong>Brehm, J., Ritschar, S., Laforsch, C. and Mair, M.M. (2023). The complexity of micro- and nanoplastic research in the genus <em>Daphnia</em> – A systematic review of study variability and a meta-analysis of immobilization rates. <em>Journal of Hazardous Materials</em> 458: 131839. (<a href="https://doi.org/10.1016/j.jhazmat.2023.131839">https://doi.org/10.1016/j.jhazmat.2023.131839</a>)</strong></p> <p><em>Abstract</em></p> <p>In recent years, the number of publications on nano- and microplastic particles (NMPs) effects on freshwater organisms has increased rapidly. Freshwater crustaceans of the genus <em>Daphnia</em> are widely used in ecotoxicological research as model organisms for assessing the impact of NMPs. However, the diversity of experimental designs in these studies makes conclusions about the general impact of NMPs on <em>Daphnia</em> challenging. To approach this, we systematically reviewed the literature on NMP effects on <em>Daphnia</em> and summarized the diversity of test organisms, experimental conditions, NMP properties and measured endpoints to identify gaps in our knowledge of NMP effects on <em>Daphnia</em>. We use a meta-analysis on mortality and immobilization rates extracted from the compiled literature to illustrate how NMP properties, study parameters and the biology of <em>Daphnia</em> can impact outcomes in toxicity bioassays. In addition, we investigate the extent to which the available data can be used to predict the toxicity of untested NMPs based on the extracted parameters. Based on our results, we argue that focusing on a more diverse set of NMP properties combined with a more detailed characterization of the particles in future studies will help to fill current research gaps, improve predictive models and allow the identification of NMP properties linked to toxicity.</p>
Data sets from "How amenable is type 2 diabetes treatment for precision diabetology? A meta-regression of glycaemic control data from 174 randomised trials"
<p>The two data sets (in CSV format) contain the complete infomation to reproduce the analyses from the paper "How amenable is type 2 diabetes treatment for precision diabetology? A meta-regression of glycaemic control data from 174 randomised trials" which will be published in Diabetologia.</p> <p>The data set "Data_LogSD.csv" contains the data for the primary analysis of the Log(SD) as given in the main paper, the data set "Data_LogSD_BL_CORR.csv" contains the data for the analysis of the baseline-corrected Log(SD) as given in the electronic supplementary material.</p>
Dryland soil restoration meta-analysis data
<p>This dataset was used to conduct a meta-analysis on soil restoration in global drylands. It includes data collected from published literature on experiments of soil-based restoration in dryland environments. Predictor variables included in this dataset are site aridity and percent soil sand, type of restoration treatment used, whether seeding or revegetating was done, and time since restoration. Response variables include the effect of soil restoration on aggregate stability, bulk density, volumetric water content, soil organic carbon, soil nitrogen, mycorrhizal colonization, and basal respiration. The calculated effect size on each of these variables is represented as the log response ratio. </p>
Data for: Meta analysis reveals impacts of disturbance on reptile and amphibian body condition
<p>Ecosystem disturbance is increasing in extent, severity, and frequency across the globe. To date, research has largely focused on the impacts of disturbance on animal population size, extinction risk, and species richness. However, individual responses, such as changes in body condition, can act as more sensitive metrics and may provide early warning signs of reduced fitness and population declines.</p> <p>We conducted the first global systematic review and meta-analysis investigating the impacts of ecosystem disturbance on reptile and amphibian body condition. We collated 384 effect sizes representing 137 species from 133 studies. We tested how disturbance type, species traits, biome, and taxon moderate the impacts of disturbance on body condition.</p> <p>We found an overall negative effect of disturbance on herpetofauna body condition (Hedges' <em>g =</em> -0.37, 95%CI: -0.57, -0.18). Disturbance type was an influential predictor of body condition response and all disturbance types had a negative mean effect. Drought, invasive species, and agriculture had the largest effects. The impact of disturbance varied in strength and direction across biomes, with the largest negative effects found within Mediterranean and temperate biomes. In contrast, taxon, body size, habitat specialisation, and conservation status were not influential predictors of disturbance effects.</p> <p>Our findings reveal the widespread effects of disturbance on herpetofauna body condition and highlight the potential role of individual-level response metrics in enhancing wildlife monitoring. The use of individual response metrics alongside population and community metrics would deepen our understanding of disturbance impacts by revealing both early impacts and chronic effects within affected populations. This could enable early and more informed conservation management.</p>
Data and R code for: "Global meta-analysis shows reduced quality of food crops under inadequate animal pollination"
<p>R code, data, and metadata for the study "Global meta-analysis shows reduced quality of food crops under inadequate animal pollination"</p>
Data for: Developmental plasticity in anurans: meta-analysis reveals effects of larval environments on size at metamorphosis and timing of metamorphosis
<p>Many anuran amphibians (frogs and toads) rely on aquatic habitats during their larval stage. The quality of this environment can significantly impact the overall lifetime fitness and dynamics of the population. Over 450 studies have been published on the impact of the environment on anuran developmental plasticity, yet we lack a synthesis of these effects across different environments. We conducted a meta-analysis and used a comparative approach to understand whether developmental plasticity in response to different larval environments produces predictable changes in metamorphic phenotypes. We analyzed data from 124 studies spanning 80 anuran species and six larval environments and showed that interspecific variation in mass at metamorphosis and the duration of the larval period is partly explained by the type of environment experienced during the larval period. Phylogenetic relationships among species were not associated with variation in mass at metamorphosis plasticity or duration of the larval period plasticity. Larval environments tended to reduce mass at metamorphosis relative to control conditions, with the degree of change depending on the identity and severity of environmental change. Higher temperatures and lower water levels shortened the duration of the larval period, whereas less food and higher densities increased the duration of the larval period. Our results provide a foundation for future studies on developmental plasticity, especially in response to global changes. This study provides motivation for additional work that links developmental plasticity with fitness consequences within and across life stages, as well as how the outcomes described here are altered in compounding environments.</p>
Summary data for "Young mixed planted forests store more carbon than monocultures: a meta-analysis"
<p>This is the dataset used in "Young mixed planted forests store more carbon than monocultures: a meta-analysis" published in Frontiers in Forests & Global Change. </p><p>The dataset contains carbon or biomass data for mixed and monoculture planted forests from 21 sites with a global coverage. We provide summary data necessary to conduct a meta-analysis: mean, standard deviation, and sample size, for each unique mixed and monoculture treatment at each study site. We indicate whether the values provided are aboveground carbon or biomass.</p><p>For each treatment we also provide the species richness, age and species. We provide the longitude, latitude and country for each study site.</p><p>Our study also assessed the effect of study design (experiment vs existing plantation), species origin (native vs non-native/mixed), and presence of nitrogen fixer in the mixture (N fixer present vs absent), we record the value of each of these factors. Finally, we categorised a subset of monocultures as commercial species monocultures based on the species use in that location. </p>
Data from: Global evaluation of inhibitor impacts on ammonia and nitrous oxide emissions from agricultural soils: A meta-analysis
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Data from: Neonicotinoids impact all aspects of bird life: A meta-analysis
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Data from: Diversity and plasticity in mosquito feeding patterns: a meta-analysis of ‘universal’ DNA diet studies
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Data from: A meta-analysis of plant interaction networks reveals competitive hierarchies as well as facilitation and intransitivity
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Data from: Warmer is deadlier: A meta-analysis reveals increasing temperatures accentuate disease impacts on fisheries hosts
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.